As part of USAID's Emerging Pandemic Threats (EPT) program, the PREDICT project focuses on increasing capacity in the developing world for early detection of viruses from wildlife with pandemic potential. The project’s focus is important, as over 70% of emerging zoonotic diseases have come from wildlife over the past 40 years (e.g., SARS, avian influenza, HIV). Created by prominent members in the fields of epidemiology, pediatrics, virology, and conservation medicine, the public-facing PREDICT HealthMap website provides a dynamic visual display of the results of PREDICT surveillance for potential pandemic viruses in wildlife. Shown here on the right is a sample of the search criteria that can be used and a listing of disease cases for May 2014. Below the global map at center-left are three zooms highlighting HealthMap Alerts for PREDICT regions. HealthMap Alerts are formal and informal reports of disease outbreaks, collected by HealthMap's automated process. Updated 24 hours a day, 7 days a week, 365 days each year, the system monitors, organizes, integrates, filters, visualizes, and disseminates information about priority diseases. The interactive PREDICT HealthMap is freely available online, delivering real-time intelligence on a broad range of emerging infectious diseases for a diverse audience including local health departments, governments, and international agencies concerned with disease outbreaks at http://healthmap.org/predict.
Brownstein, John, Damien Joly, William Karesh, Peter Daszak, Nathan Wolfe, Tracey Goldstein, Susan Aman, Clark Freifeld, Sumiko Mekaru, Tammie O'Rourke, Stephen Morse, Christine Kreuder Johnson, Jonna Mazet, and the PREDICT Consortium. 2014. PREDICT: HealthMap. Courtesy of USAID, UC Davis School of Veterinary Medicine, and Children’s Hospital Boston. In "10th Iteration (2014): The Future of Science Mapping," Places & Spaces: Mapping Science, edited by Katy Börner and Samuel Mills. http://scimaps.org
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Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.